Powerful Independent Predictor Of Mortality Research Articles

Automated analysis of echocardiograms at diagnosis is able to predict prognosis in ATTR cardiomyopathy

Abstract Funding Acknowledgements Type of funding sources: None. Background Transthyretin amyloidosis cardiomyopathy (ATTR-CM) is progressive and ultimately fatal cause of heart failure. ATTR-CM often displays characteristic echocardiographic features, and manual measurements of both stroke volume and longitudinal strain are independent predictors of mortality. We sought to investigate whether automated analysis of echocardiographic parameters at the time of diagnosis were able to predict prognosis in this population. Methods We analysed all consecutive patients between 2006–2021 who underwent an echocardiogram at the time of diagnosis, and analysed their echocardiograms using artificial intelligence software that has been developed and validated by Us2.ai. Results We identified 1972 patients with ATTR-CM (age: 75.6±8.7 years, male: 86.9%), comprising of 1329 wild-type ATTR-CM and 643 hereditary ATTR-CM (V142I = 376, T80A = 171, other = 96). Patients with V142I had an increased relative wall thickness (P<0.001) lower stroke volume indexed (P<0.001), and worse longitudinal strain (P<0.001) than patients with wild-type and T80A ATTR-CM. In a multi-variable analysis of echocardiographic parameters selected a priori (interventricular septal diameter, relative wall thickness, left and right atrial area indexed, biplane stroke volume indexed, full thickness longitudinal strain, and E/e’ lateral), left atrial area indexed (HR=1.08, 95%CI[1.02–1.14], P=0.005), biplane stroke volume indexed (HR=0.96, 95%CI[0.94–0.98], P<0.001) and full thickness longitudinal strain (HR=1.04, 95%CI[1.01–1.08], P=0.009) all remained independent predictors of mortality. Conclusions Automated of analysis echocardiograms using artificial intelligence demonstrated that patients with V142I had more advanced cardiac disease at diagnosis. Automated measurements produced by artificial intelligence software are able to predict prognosis and identify the same parameters as those identified using manual analysis as powerful independent predictors of mortality.

Tracking treatment response in cardiac AL amyloidosis with native-T1 mapping

Abstract Funding Acknowledgements Type of funding sources: None. Background Cardiac magnetic resonance (CMR) derived extracellular volume (ECV) mapping has demonstrated utility in determining the cardiac response to chemotherapy in systemic AL amyloidosis, but concomitant renal dysfunction is a common contraindication for the required gadolinium contrast. Objectives To assess the ability of native-T1 mapping to measure the cardiac response to treatment, and assess the association between changes in native-T1 and prognosis. Methods We studied 221 patients who underwent cardiac magnetic resonance (CMR) scans at diagnosis and a repeat scan following chemotherapy. Results At 6-months a reduced native-T1 of ≥50ms occurred in 8(4%) patients, all of whom had a good haematological response; by contrast an increased native-T1 of ≥50ms occurred in 42(23%) patients, most of whom had a poor haematological response (n=27,68%). At 12-months, a reduced native-T1 occurred in 24(15%) patients, all of whom had a good haematological response, and was associated with a reduction in median N-terminal pro-brain natriuretic peptide (NT-proBNP) (2638ng/L vs 432ng/L,P<0.001) and E/e’ (14.9±6.8 vs 12.0±5.2, P=0.007), improved longitudinal strain (−14.8±4.0 vs −16.7±4.0, P=0.004) and reduction in both T2 (52.3±2.9 vs 49.4±2.0, P<0.001) and ECV (0.47±0.07 vs 0.42±0.08, P<0.001); increased native-T1 occurred in 24(15%) patients, most of whom had a poor haematological response (n=17,71%) and was associated with an increased median NT-proBNP (1622ng/L vs 3150ng/L, P=0.007), reduced ejection fraction (65.8±11.4% vs 61.5±12.4%, P=0.009) and both increased T2 (52.5±2.7 vs 55.3±4.2, P<0.001) and ECV (0.48±0.09 vs 0.56±0.09, P<0.001). Change in native-T1 at 6-months predicted mortality even after adjusting for haematological response and NT-proBNP response (HR=2.41,95%CI[1.36–4.27],P=0.003). Conclusion Changes in myocardial native-T1 in response to treatment, are reflected in changes in the traditional markers of the cardiac response provide a powerful independent predictor of mortality. Change in native-T1 represents an important addition to the standard armamentarium of amyloid assessment, and provides an alternative measure of the cardiac treatment response, that not only limits exposure of patients to contrast but could also have implications on clinical workflow by reducing scan time.

#4566 PREDICTIVE ADMISSION RISK FACTORS, CLINICAL FEATURES AND KIDNEY OUTCOMES IN COVID-19 HOSPITALISED PATIENTS WITH ACUTE KIDNEY INJURY

Abstract Background and Aims Kidneys in COVID-19 patients demonstrate high vulnerability and acute kidney injury (AKI) is recognized as a cause of poor outcome and high mortality, in those requiring hospitalisation. The aim of our study was to assess the predictors and rate of AKI involvement among COVID-19 hospitalised patients at the day of admission, and to see the impact of AKI on patient's prognosis and life expectancy. Method We analysed admission data of COVID-19 patients, hospitalized in a tertiary nephrology hospital, during the first pandemic wave. Outcome data were recorded, including the need for renal replacement therapy (RRT) and inpatient mortality at 30 days. Results Out of 115 admitted patients included into the final analysis, 62(53.9%) presented with AKI, 21(33.9%) met KDIGO criteria for stage 1, 7(11.3%) for stage 2 and 34(54.8%) for stage 3 of AKI. RRT was required in 26 patients (22.6% of total, 41.9% of all AKI). From the discharged patients, AKI has been resolved in 76% and no need of RRT following hospital discharge was noted. Pre-existing CKD was associated with a 13-fold risk of AKI (OR 13.04; 95% CI:3.85–44.06, p < 0.0001) adjusted for demographics and comorbidities, low albumin (OR 0.895; 95% CI: 0.797–0.970, p = 0.017), thrombocytopenia (OR 0.994; 95% CI:0.988–0.999, p = 0.022) and increase of CK over 350UI (OR 3.60; 95% CI:1.184–10.95, p = 0.024) were all independently associated with a higher risk for AKI. Mortality rates were significantly higher among patients who developed AKI compared to those without (59.6% vs 30.2%, p < 0.003). The low oxygen blood saturation at admission and albumin were presented as powerful independent predictors of mortality (OR 0.937; 95%CI: 0.917 – 0.958, p = 0.000; OR 0.987; 95%CI: 0.885–0.991, p < 0.024, respectively). The Kaplan-Meier curve illustrated longer survival in patients without AKI compared to patients with AKI (22.01± 1.703 vs 16.69 ± 1.54, log rank p = 0.009). Conclusion Renal impairment in COVID-19 patients occurs in significant percentage, and it is a factor of poor prognosis. The severity of the disease itself is emphasized as main contributing mechanism in the occurrence of AKI, and the lower blood saturation at admission is the strongest mortality predictor, outreaching the significance of the AKI itself.

Echocardiographic predictors of mortality in intermediate-risk pulmonary embolism.

Data regarding further risk stratification of intermediate-risk pulmonary embolism (IR-PE) are scanty. Whether transthoracic echocardiography may be helpful in further risk assessment of death in such population has still to be proven. Two-hundred fifty-four consecutive patients (51.6% females, age 63.7 ± 17.3years) with IR-PE admitted to a tertiary regional referral center were enrolled. Patients underwent a complete transthoracic echocardiography within 36h from hospital admission, on top of clinical assessment, physical examination, computer tomography pulmonary angiography (CTPA), and serum measurement of Troponin I (TnI) levels. The occurrence of 90day mortality was chosen as primary outcome measure. When compared to survivors, non-surviving IR-PE patients had smaller left-ventricular end-diastolic volumes (39.8 ± 20.9 vs 49.4 ± 19.9ml/m2, p = 0.006) with reduced stroke volume index (SVi) (24.7 ± 10.9 vs 30.9 ± 12.6ml/m2, p: 0.004) and time-velocity integral at left-ventricular outflow tract (VTILVOT) (0.17 ± 0.03 vs 0.20 ± 0.04m, p = 0.0001), whereas no differences were recorded regarding right heart parameters. Cox regression analysis revealed that right atrial enlargement (RAE) (HR 3.432, 5-95% CI 1.193-9.876, p: 0.022), the ratio between tricuspid annulus plane excursion and pulmonary arterial systolic pressure (TAPSE/PASp) (HR 4.833, 5-95% 1.230-18.986, p = 0.024), as well as SVi (HR 11.199, 5-95% CI 2.697-48.096, p = 0.001) and VTILVOT (HR 4.212, 5-95% CI 1.384-12.820, p = 0.011) were powerful independent predictors of mortality. Neither CTPA RV/LV nor TnI resulted associated with impaired survival. In intermediate-risk pulmonary embolism, RAE, TAPSE/PASp ratio, SVi, and VTILVOT predict independently prognosis to a greater extent than CTPA and TnI.

Change in N-terminal pro-B-type natriuretic peptide at 1 year predicts mortality in wild-type transthyretin amyloid cardiomyopathy

ObjectivesWild-type transthyretin amyloid cardiomyopathy (wtATTR-CM) is a progressive and fatal condition. Although prognosis can be determined at the time of diagnosis according to National Amyloidosis Centre (NAC) transthyretin amyloidosis (ATTR)...

Myocardial strain analysis using cardiac magnetic resonance in patients with calpainopathy

BackgroundLimb–girdle muscular dystrophy (LGMD) is a genetically and clinically heterogeneous group of rare muscular dystrophies. Subtype 2A (LGMD2A) also known as “calpainopathy” is an inherited autosomal recessive gene defect. Cardiac dysfunction is common in several forms of LGMD. Cardiac involvement in LGMD2A, however, is not clear. The aim of this study was to perform cardiac magnetic resonance (CMR)-based strain analysis in LGMD2A patients, as this is a diagnostic parameter of subclinical cardiac involvement and a powerful independent predictor of mortality. We conducted the largest prospective cardiac magnetic resonance study to date, including 11 genetically verified LGMD2A patients and 11 age- and sex-matched control subjects and performed CMR-based strain analysis of the left and right ventricles.ResultsLeft and right global longitudinal strain (GLS) were not significantly different between the two groups and within normal reference ranges (left ventricle: control − 21.8 (5.1) % vs. patients − 22.3 (3.2) %, p = 0.38; right ventricle: control − 26.3 (7.2) % vs. patients − 26.8 (5.8) %, p = 0.85). Also, global circumferential and radial strains did not significantly differ between the two groups (p = 0.95 and p = 0.86, respectively). LGMD2A patients did not show relevant amounts of late gadolinium enhancement (LGE) or malignant ventricular arrhythmias.ConclusionsNo evidence of even subtle cardiac dysfunction is evident form CMR-based strain analysis in LGMD2A patients. Malignant ventricular arrhythmias were not detected. Thus, in case of non-pathological initial echocardiographic and electrocardiographic examination, a less frequent or even no cardiac follow-up may be acceptable in these patients. However, if there are signs and symptoms that suggest an underlying cardiac condition (e.g. palpitations, angina, shortness of breath), this approach needs to be individualized to account for the unknown.

Prognostic utility of quantitative offline 2D-echocardiography in hospitalized patients with COVID-19

Funding AcknowledgementsType of funding sources: None.BackgroundThe severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was declared as a pandemic by the World Health Organization (WHO) on 11 March 2020. Clinical presentation ranges from asymptomatic to acute respiratory distress syndrome (ARDS) that can lead to death. Patients with concomitant cardiac diseases have an extremely poor prognosis, and SARS-CoV-2 may cause direct acute and chronic damage to the cardiovascular system. Echocardiography may provide useful information, especially in critical care patients, because it can be performed quickly at the bedside. However, the recommendations relating to the use of echocardiography in the COVID-19 pandemic must be considered only as expert suggestions due to the lack of evidence-based scientific outcome data. To date, there is no means to predict the impact of the virus on patient outcome probably because the pathophysiology of COVID-19 remains unexplained.PurposeTo assess the prognostic utility of quantitative 2D-echocardiography, including strain, in patients with COVID-19 disease.MethodsCOVID-19 patients admitted to the San Paolo University Hospital of Milan, that underwent a clinically indicated echocardiographic exam were included in the study. To limit contamination all measurements were performed offline. Quantitative measurements were obtained by an operator blinded to the clinical data.ResultsAmong the 49 patients, non-survivors (33%) had worse respiratory parameters, index of multiorgan failure and worse markers of lung involvement. Right Ventricular (RV) dysfunction (as assessed by conventional and 2-dimensional speckle tracking, fig. 1) was a common finding and a powerful independent predictor of mortality. At the ROC curve analyses, RV free-wall longitudinal strain (LS) showed an AUC 0.77 ± 0.08 in predicting death, p = 0.008, and global RV LS (RV-GLS) showed an AUC 0.79 ± 0.04, p = 0.004. This association remained significant after correction for age (OR= 1.16, 95%CI 1.01-1.34, p = 0.029 for RV free-wall LS and OR = 1.20, 95%CI 1.01-1.42, p = 0.033 for RV-GLS), for oxygen partial pressure at arterial gas analysis/fraction of inspired oxygen (OR= 1.28, 95%CI 1.04-1.57, p = 0.021 for RV free wall-LS and OR = 1.30, 95%CI 1.04-1.62, p = 0.020 for RV-GLS) and for the severity of pulmonary involvement measured by a computed tomography lung score (OR = 1.27, 95%CI 1.02-1.19, p = 0.034 for RV free-wall LS, and OR = 1.30, 95%CI 1.04-1.63, p = 0.022 for RV-GLS).ConclusionsIn patients hospitalized with COVID-19, offline quantitative 2D-echocardiographic assessment of cardiac function is feasible. Parameters of RV function are frequently abnormal and have an independent prognostic value over markers of lung involvement. Early identification of RV dysfunction with speckle tracking might be useful not only to guide management acutely (i.e. fluid management, monitoring high-PEEP response in intubated patients) but also to tailor follow-up subsequently. Figure 1

Evaluation of Myocardial Strain Using Cardiac Magnetic Resonance in Patients with Wilson's Disease.

(1) Background: Wilson’s disease (WD) is an inherited autosomal recessive disorder with the excessive deposition of copper into different organs, including the heart. Previous studies showed structural cardiac changes even in patients with no signs of heart failure. The aim of this study was to perform cardiac magnetic resonance-based strain analysis in WD patients, as it is a powerful independent predictor of mortality. (2) Methods: We conducted a prospective cardiac magnetic resonance study that included 61 patients and 61 age and sex-matched controls, and performed strain analysis of the left and right ventricle. (3) Results: Left ventricular global longitudinal strain (GLS) as a prognostic marker of increased mortality was not altered (control −22.8 (4.8) % vs. WD patients −21.8 (5.1) %, p = 0.124). However, 4 of the 61 patients had a markedly reduced GLS. Global circumferential strain did not significantly differ between the groups either (p = 0.534). WD patients had significantly reduced global radial strain (p = 0.002). Right ventricular GLS was also significantly reduced in WD patients (p = 0.01). (4) Conclusions: Strain analysis revealed functional impairment of the left and right ventricle in a small number of patients as a potential early sign of cardiac manifestation in asymptomatic WD patients.

Heart rhythm complexity as predictors for the prognosis of end-stage renal disease patients undergoing hemodialysis

BackgroundHeart rhythm complexity, a measure of heart rate dynamics and a risk predictor in various clinical diseases, has not been systematically studied in patients with end-stage renal disease. The aim of this study is to investigate the heart rhythm complexity and its prognostic value for mortality in end-stage renal disease patients undergoing hemodialysis.MethodsTo assess heart rhythm complexity and conventional heart rate variability measures, 4-h continuous electrocardiography for a retrospective cohort of 202 ostensibly healthy control subjects and 51 hemodialysis patients with end-stage renal disease were analyzed. Heart rhythm complexity was quantified by the complexity index from the measurement of the multiscale entropy profile.ResultsDuring a follow-up of 13 months, 8 people died in the patient group. Values of either traditional heart rate variability measurements or complexity indices were found significantly lower in patients than those in healthy controls. In addition, the complexity indices (Area 1–5, Area 6–15 and Area 6–20) in the mortality group were significantly lower than those in the survival group, while there were no significant differences in traditional heart rate variability parameters between the two groups. In receiver operating characteristic curve analysis, Area 6–20 (AUC = 0.895, p < 0.001) showed the strongest predictive power between mortality and survival groups.ConclusionThe results suggest that heart rhythm complexity is impaired for patients with end-stage renal disease. Furthermore, the complexity index of heart rate variability quantified by multiscale entropy may be a powerful independent predictor of mortality in end-stage renal disease patients undergoing hemodialysis.

Progressive Hypoxia: A Pivotal Pathophysiologic Mechanism of COVID-19 Pneumonia

Progressive Hypoxia: A Pivotal Pathophysiologic Mechanism of COVID-19 Pneumonia

Prognostic utility of quantitative offline 2D-echocardiography in hospitalized patients with COVID-19 disease.

PurposeTo assess the prognostic utility of quantitative 2D‐echocardiography, including strain, in patients with COVID‐19 disease.MethodsCOVID‐19‐infected patients admitted to the San Paolo University Hospital of Milan that underwent a clinically indicated echocardiographic examination were included in the study. To limit contamination, all measurements were performed offline. Quantitative measurements were obtained by an operator blinded to the clinical data.ResultsAmong the 49 patients, nonsurvivors (33%) had worse respiratory parameters, index of multiorgan failure, and worse markers of lung involvement. Right ventricular (RV) dysfunction (as assessed by conventional and 2‐dimensional speckle tracking) was a common finding and a powerful independent predictor of mortality. At the ROC curve analyses, RV free wall longitudinal strain (LS) showed an AUC 0.77 ± 0.08 in predicting death, P = .008, and global RV LS (RV‐GLS) showed an AUC 0.79 ± 0.04, P = .004. This association remained significant after correction for age (OR = 1.16, 95%CI 1.01–1.34, P = .029 for RV free wall LS and OR = 1.20, 95%CI 1.01–1.42, P = .033 for RV‐GLS), for oxygen partial pressure at arterial gas analysis/fraction of inspired oxygen (OR = 1.28, 95%CI 1.04–1.57, P = .021 for RV free wall‐LS and OR = 1.30, 95%CI 1.04–1.62, P = .020 for RV‐GLS) and for the severity of pulmonary involvement measured by a computed tomography lung score (OR = 1.27, 95%CI 1.02–1.19, P = .034 for RV free wall LS and OR = 1.30, 95%CI 1.04–1.63, P = .022 for RV‐GLS).ConclusionsIn patients hospitalized with COVID‐19, offline quantitative 2D‐echocardiographic assessment of cardiac function is feasible. Parameters of RV function are frequently abnormal and have an independent prognostic value over markers of lung involvement.

Extracellular Myocardial Volume in Patients With Aortic Stenosis

BackgroundMyocardial fibrosis is a key mechanism of left ventricular decompensation in aortic stenosis and can be quantified using cardiovascular magnetic resonance (CMR) measures such as extracellular volume fraction (ECV%). Outcomes following aortic valve intervention may be linked to the presence and extent of myocardial fibrosis. ObjectivesThis study sought to determine associations between ECV% and markers of left ventricular decompensation and post-intervention clinical outcomes. MethodsPatients with severe aortic stenosis underwent CMR, including ECV% quantification using modified Look-Locker inversion recovery–based T1 mapping and late gadolinium enhancement before aortic valve intervention. A central core laboratory quantified CMR parameters. ResultsFour-hundred forty patients (age 70 ± 10 years, 59% male) from 10 international centers underwent CMR a median of 15 days (IQR: 4 to 58 days) before aortic valve intervention. ECV% did not vary by scanner manufacturer, magnetic field strength, or T1 mapping sequence (all p > 0.20). ECV% correlated with markers of left ventricular decompensation including left ventricular mass, left atrial volume, New York Heart Association functional class III/IV, late gadolinium enhancement, and lower left ventricular ejection fraction (p < 0.05 for all), the latter 2 associations being independent of all other clinical variables (p = 0.035 and p < 0.001). After a median of 3.8 years (IQR: 2.8 to 4.6 years) of follow-up, 52 patients had died, 14 from adjudicated cardiovascular causes. A progressive increase in all-cause mortality was seen across tertiles of ECV% (17.3, 31.6, and 52.7 deaths per 1,000 patient-years; log-rank test; p = 0.009). Not only was ECV% associated with cardiovascular mortality (p = 0.003), but it was also independently associated with all-cause mortality following adjustment for age, sex, ejection fraction, and late gadolinium enhancement (hazard ratio per percent increase in ECV%: 1.10; 95% confidence interval [1.02 to 1.19]; p = 0.013). ConclusionsIn patients with severe aortic stenosis scheduled for aortic valve intervention, an increased ECV% is a measure of left ventricular decompensation and a powerful independent predictor of mortality.

Feature-Tracking Global Longitudinal Strain Predicts Mortality in Patients With Preserved Ejection Fraction: A Multicenter Study

ObjectivesThe goal of this study was to evaluate the prognostic value of global longitudinal strain (GLS) derived from cardiac magnetic resonance (CMR) feature-tracking in a large multicenter population of patients with preserved ejection fraction. BackgroundEjection fraction is the principal parameter used clinically to assess cardiac mechanics and provides prognostic information. However, significant abnormalities of myocardial deformation can be present despite preserved ejection fraction. CMR feature-tracking techniques now allow assessment of strain from routine cine images, without specialized pulse sequences. Whether abnormalities of strain measured by using CMR feature-tracking have prognostic value in patients with preserved ejection fraction is unknown. MethodsConsecutive patients with preserved ejection fraction (≥50%) and a clinical indication for CMR at 4 U.S. medical centers were included in this retrospective study. Feature-tracking GLS was calculated from 3 long-axis cine views. The primary endpoint was all-cause death. Cox proportional hazards regression modeling was used to examine the independent association between GLS and death. The incremental prognostic value of GLS was assessed in nested models. ResultsOf the 1,274 patients in this study, 115 died during a median follow-up of 6.2 years. By Kaplan-Meier analysis, patients with GLS ≥ median (–20%) had significantly reduced event-free survival compared with those with GLS < median (log-rank test, p < 0.001). By Cox multivariable regression modeling, each 1% worsening in GLS was associated with a 22.8% increased risk of death after adjustment for clinical and imaging risk factors (hazard ratio: 1.228 per percent; p < 0.001). Addition of GLS in this model resulted in significant improvement in the global chi-square test (94 to 183; p < 0.001) and Harrell’s C-statistic (0.75 to 0.83; p < 0.001). ConclusionsGLS derived from CMR feature-tracking is a powerful independent predictor of mortality in patients with preserved ejection fraction, incremental to common clinical and imaging risk factors.

3225Global longitudinal strain measured using feature-tracking cardiac magnetic resonance imaging is an independent predictor of all cause mortality in patients with preserved ejection fraction

Abstract Introduction Ejection fraction is the principal measure used clinically to assess cardiac mechanics and provides significant prognostic information. However, echocardiographic strain imaging has shown significant abnormalities of myocardial deformation can be present despite preserved ejection fraction, which maybe associated with adverse prognosis. Cardiac-Magnetic-Resonance (CMR) feature-tracking techniques now allow assessment of strain from routine cine-images, without specialized pulse sequences. Whether abnormalities of strain measured using CMR feature-tracking have prognostic value in patients with preserved ejection fraction is unknown. Purpose To evaluate the prognostic value of CMR feature-tracking derived global longitudinal strain (GLS) in a large multicenter population of patients with preserved ejection fraction. Methods Consecutive patients with preserved ejection fraction (EF ≥50%) and a clinical indication for CMR at four US medical centers were included in this study. Feature-tracking GLS was calculated from 3 long-axis-cine-views. The primary endpoint was all-cause death. Cox proportional hazards regression modeling was used to examine the independent association between GLS and death. The incremental prognostic value of GLS was assessed in nested models. Results Of the 1274 patients in this study, 115 died during a median follow-up of 6.2 years. By Kaplan-Meier analysis, patients with GLS ≥ median (−20%) had significantly reduced event free survival compared to those with GLS &lt; median (log-rank p&lt;0.001) (Figure, top panel). The continuous relationship between GLS and the hazard of death is shown in the cubic spline (Figure, lower panel). By Cox multivariable regression modeling, each 1% worsening in GLS was associated with a 23.6% increased risk-of-death after adjustment for clinical and imaging risk factors (HR=1.236 per %; p&lt;0.001). Addition of GLS in this model resulted in significant-improvement in the global-chi-square (67 to 168; p&lt;0.0001) and Harrel's C-statistic (0.716 to 0.825; p&lt;0.0001). Conclusions CMR feature-tracking derived GLS is a powerful independent predictor of mortality in patients with preserved ejection fraction, incremental to common clinical and imaging risk factors.

Feature-Tracking Global Longitudinal Strain Predicts Death in a Multicenter Population of Patients With Ischemic and Nonischemic Dilated Cardiomyopathy Incremental to Ejection Fraction and Late Gadolinium Enhancement

ObjectivesThe aim of this study was to evaluate the prognostic value of cardiac magnetic resonance (CMR) feature-tracking–derived global longitudinal strain (GLS) in a large multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy. BackgroundDirect assessment of myocardial fiber deformation with GLS using echocardiography or CMR feature tracking has shown promise in providing prognostic information incremental to ejection fraction (EF) in single-center studies. Given the growing use of CMR for assessing persons with left ventricular (LV) dysfunction, we hypothesized that feature-tracking–derived GLS may provide independent prognostic information in a multicenter population of patients with ischemic and nonischemic dilated cardiomyopathy. MethodsConsecutive patients at 4 U.S. medical centers undergoing CMR with EF <50% and ischemic or nonischemic dilated cardiomyopathy were included in this study. Feature-tracking GLS was calculated from 3 long-axis cine-views. The primary endpoint was all-cause death. Cox proportional hazards regression modeling was used to examine the association between GLS and death. Incremental prognostic value of GLS was assessed in nested models. ResultsOf the 1,012 patients in this study, 133 died during median follow-up of 4.4 years. By Kaplan-Meier analysis, the risk of death increased significantly with worsening GLS tertiles (log-rank p < 0.0001). Each 1% worsening in GLS was associated with an 89.1% increased risk of death after adjustment for clinical and imaging risk factors including EF and late gadolinium enhancement (LGE) (hazard ratio [HR]:1.891 per %; p < 0.001). Addition of GLS in this model resulted in significant improvement in the C-statistic (0.628 to 0.867; p < 0.0001). Continuous net reclassification improvement (NRI) was 1.148 (95% confidence interval: 0.996 to 1.318). GLS was independently associated with death after adjustment for clinical and imaging risk factors (including EF and late gadolinium enhancement) in both ischemic (HR: 1.942 per %; p < 0.001) and nonischemic dilated cardiomyopathy subgroups (HR: 2.101 per %; p < 0.001). ConclusionsCMR feature-tracking–derived GLS is a powerful independent predictor of mortality in a multicenter population of patients with ischemic or nonischemic dilated cardiomyopathy, incremental to common clinical and CMR risk factors including EF and LGE.

Liver - guardian, modifier and target of sepsis.

Sepsis and septic shock are characterized by life-threatening organ dysfunction caused by a dysregulated host response to infection. The liver has a central role during sepsis, and is essential to the regulation of immune defence during systemic infections by mechanisms such as bacterial clearance, acute-phase protein or cytokine production and metabolic adaptation to inflammation. However, the liver is also a target for sepsis-related injury, including hypoxic hepatitis due to ischaemia and shock, cholestasis due to altered bile metabolism, hepatocellular injury due to drug toxicity or overwhelming inflammation, as well as distinct pathologies such as secondary sclerosing cholangitis in critically ill patients. Hence, hepatic dysfunction substantially impairs the prognosis of sepsis and serves as a powerful independent predictor of mortality in the intensive care unit. Sepsis is particularly problematic in patients with liver cirrhosis (who experience increased bacterial translocation from the gut and impaired microbial defence) as it can trigger acute-on-chronic liver failure - a syndrome with high short-term mortality. Here, we review the importance of the liver as a guardian, modifier and target of sepsis, the factors that contribute to sepsis in patients with liver cirrhosis and new therapeutic strategies.

Acute kidney injury is a powerful independent predictor of mortality in critically ill patients: a multicenter prospective cohort study from Kinshasa, the Democratic Republic of Congo.

BackgroundDespite the growing incidence of acute kidney injury (AKI) worldwide, there is little data on the burden and outcomes of AKI in intensive care unit (ICU) in low resource settings. The present study assessed the incidence of AKI and its impact on mortality in ICU in Kinshasa (Democratic Republic of Congo).MethodsIn a prospective cohort study, 476 consecutive critically ill patients (mean age 52 years, 57 % male) were screened for the presence of AKI in seven ICU from January 1st to March 30th, 2015. Serum creatinine was measured by the enzymatic method (Cobas C111 device®). AKI and its stages (no AKI, AKI 1, AKI 2 and AKI 3) were defined according to AKIN recommendations. The primary outcome was 28 days mortality. Survival (time-to death) curves were built using the Kaplan Meier methods. Predictors of mortality were assessed by Cox proportional hazards regression models. p < 0.05 defined the level of statistical significance.ResultsThe cumulative incidence of AKI was 52.7 % with AKI stage 1, 2 and 3 in 23.7 %, 16.2 % and 12.8 % of patients, respectively. Among patients who developed AKI, 146 died (58 %) vs 62 patients (28 %) in the group without AKI. Only 6.5 % of the patients with AKI stage 3 benefited from dialysis. Median survival time was 15.0 days in patients without AKI and 3.0 days, 6.0 days and 8.0 days in patients with AKI stage 3, 2 and 1 (p < 0.001), respectively. In addition to respiratory distress-induced polypnea (HRa 1.60; 95 % CI: 1.08–2.37; p = 0.018), oxygen desaturation (HRa 1.53; 95 % CI: 1.13–2.08; p = 0.006) and multi-organic involvement (HRa 1.63; 95 % CI: 1.15–2.30), AKI emerged as an independent predictor of death (HRa 1.82; 95 % CI: 1.34–2.48; p < 0.001).ConclusionMore than half of critically ill patients in the present cohort developed AKI which contributed substantially to short-term mortality, highlighting the need for its prevention, early detection and management as well as the availability of dialysis in ICU.

Homocysteine in Chronic Heart Failure.

Hyperhomocysteinemia (HHcy) is a risk factor for cardiovascular disease. Homocysteine (Hcy) can generate reactive oxygen species. Oxidative stress enhances the progression of cardiovascular diseases and has long been implicated in chronic heart failure (CHF). This study was to evaluate the predictive value of plasma Hcy levels in CHF patients and to investigate the relationship with other markers. We investigated 134 adult CHF patients (males, 74%; mean age, 60.0 ± 14.8 years). Echocardiography, 6-min walk test, and determination of peak oxygen consumption (VO(2max)) were performed. Serum levels of Hcy and other markers were determined. Clinical follow-up was performed at five years. The mean Hcy level was markedly elevated in CHF patients (18.4 ± 7.83 μmol/L) vs. control subjects (12.8 ± 3.14 μmol/L; p < 0.01), whatever the etiology of heart failure (non-ischemic, n = 74, 17.6 ± 7.8 μmol/L; ischemic, n = 60, 19.3 ± 7.8 μmol/L). Hcy correlated negatively with VO(2max) and positively with BNP. Kaplan-Meier analysis showed that CHF patients with HHcy > 15 μmol/L had a significantly lower survival rate (35% vs. 56%, log-rank p < 0.05) than those without HHcy. Cox regression revealed that HHcy and hs-CRP were the most powerful independent predictors of mortality in patients at 5 years. HHcy is common in CHF patients and is associated with an increased risk of death at 5 years. We suggest that Hcy can be used in clinical practice as an additional risk marker in CHF patients with various medications.

Cardiac implanted electronic device-related infective endocarditis: clinical features, management, and outcomes of 80 consecutive patients.

The use of cardiac implantable electronic devices (CIEDs) has expanded dramatically over the past decade, but net clinical benefit has been curtailed by increasing infectious complications. In particular, CIED-related infectious endocarditis (IE) is a serious condition with significant morbidity and mortality. We performed a single-center, retrospective study between July 2006 and February 2011 with CIED-related IE, defined by either lead vegetations detected on echocardiography or by fulfilling Duke criteria for definite endocarditis. Clinical parameters and outcomes were detailed by electronic medical record review and vital status was confirmed by the Social Security Death Index. Eighty patients (median age 67, interquartile range 56-75, 58 M/22 F) were diagnosed with CIED-related IE. Overall mortality was 36% with a median time to death of 95 days from presentation. Over half (52%) of the deaths were infection related with a median time to death of 29 days. Multivariate analysis showed methicillin-resistant Staphylococcus aureus (MRSA) infection (odds ratio [OR] 0.158; 95% confidence interval [CI], 0.047-0.534; P = .003) and concomitant valve endocarditis (OR 0.141, CI 0.041-0.491, P = .002) independently predicted mortality. In this contemporary series, all-cause mortality in patients with CIED-related IE was high with a short time to death from onset of infection. MRSA and concomitant valve infection were the most powerful independent predictors of mortality.

Myocardial scar burden predicts survival benefit with implantable cardioverter defibrillator implantation in patients with severe ischaemic cardiomyopathy: influence of gender

ObjectiveWe sought to assess the impact of myocardial scar burden (MSB) on the association between implantable cardioverter defibrillator (ICD) implantation and mortality in patients with ischaemic cardiomyopathy (ICM) and left...